Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Genetic Algorithms are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region at which the algorithm converges. Hybrid genetic algorithms are the combination of learning algorithms(Back propagation), usually...
Saved in:
Main Authors: | Taha, Imad, Inazy, Qabas |
---|---|
Format: | Article |
Language: | English |
Published: |
Al Rafidain University College
2006
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/6683/1/imad-qabas.pdf http://irep.iium.edu.my/6683/ http://www.coalrafidain.edu.iq |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Differential evolution for neural networks learning enhancement
by: Ismail Wdaa, Abdul Sttar
Published: (2008) -
Evolution strategies for evolving artificial neural networks in an arcade game
by: Tse, Guan Tan, et al.
Published: (2010) -
A hybrid differential evolution algorithm for parameter tuning of evolving spiking neural network
by: Saleh, Abdulrazak Yahya, et al.
Published: (2017) -
Multi-objective K-means evolving spiking neural network model based on differential evolution
by: Hamed, H. N. A., et al.
Published: (2016) -
The evolution of information architecture
by: Erlin, Erlin, et al.
Published: (2008)